Suppose that a researcher selects a random sample of 200 columnists from a large newspaper company to study the factors affecting the productivity of these columnists (measured by the number of words they write in a day) She estimates the following regression equation: W=648.12 -0.84 S+0.24 inc + 1,87 Exp+0.84 HS, where W denotes the number of words they write in a day. S denotes the number of minutes they spend browsing social networking sites in a day, Inc denotes the monthly salary they earn, Exp denotes the number of years of experience they have, and HS denotes their daily overall health measured by a health score on a scale of 1 to 100 which includes various health indicators The researcher hypothesizes that after controlling for the social media browsing time and the overall health, neither income nor experience have a significant effect on the productivity of the columnists, le..fy and Bs are jointly zero The researcher calculates the test statistics for individually testing the null hypotheses 1, 0 and 3 = 0 to be 1.85 and 2.04, respectively. Suppose that the correlation between these tost statistics is found to be 0.72 The F-statistic associated with the above test will be (Round your answer to two decimal places.) At the 1% significance level, we will reject the null hypothesis